Evidence map›Paper›PMID 38848016›Full record

ArticleInfection2024

Changes in the epidemiology and antimicrobial resistance patterns of Streptococcus pneumoniae from pediatric community acquired pneumonia patients attended in a Chinese hospital during the COVID-19 pandemic.

Ling Ai, Chanjuan Zhou, Liang Fang, Beizhong Liu, Fang Gong

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Article in Infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Serotype distribution and antimicrobial resistance ofJournal of medical microbiology · 2025
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ling AiDepartment of General Practice, Yongchuan Hospital of Chongqing Medical University, No. 439, Xuanhua Street, Chongqing, 402160, China.
Chanjuan ZhouCentral Laboratory, Yongchuan Hospital of Chongqing Medical University, Chongqing, 402160, China.
Liang FangCentral Laboratory, Yongchuan Hospital of Chongqing Medical University, Chongqing, 402160, China.
Beizhong LiuCentral Laboratory, Yongchuan Hospital of Chongqing Medical University, Chongqing, 402160, China.
Fang GongDepartment of General Practice, Yongchuan Hospital of Chongqing Medical University, No. 439, Xuanhua Street, Chongqing, 402160, China. gflinda@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe COVID-19 pandemic has altered the infection dynamics of numerous pathogens. This study aimed to elucidate its impact on Streptococcus pneumoniae (S. pneumoniae) infections in children with community acquired pneumonia (CAP).

methodsA retrospective analysis was conducted in pediatric CAP patients admitted before (2018-2019) and during (2020-2022) the COVID-19 pandemic. The epidemiology and antimicrobial resistance (AMR) patterns of S. pneumoniae were compared to reveal the impact of the pandemic.

resultsA total of 968 S. pneumoniae-associated pediatric CAP patients were enrolled. Although the positivity rate and gender of patients were stable across both periods, the age notably increased in 2021 and 2022. Additionally, significant changes were observed in the co-infections with several pathogens and the resistance rates to certain antibiotics during the COVID-19 pandemic. The resistance rate to clindamycin and quinupristin-dalfopristin increased, whereas the resistance rate to tetracycline, trimethoprim-sulfamethoxazole, telithromycin, and proportion of multi-drug resistant isolates decreased. The number of S. pneumoniae strains and resistant isolates exhibited similar seasonal patterns in 2018 and 2019, peaking in November or December with another minor peak in March or April. During the COVID-19 pandemic, there was a sharp decrease in February 2020 and no resurgence was observed at the end of 2022. Additionally, the minor peak was absent in 2020 and shifted to other months in 2021 and 2022.

conclusionsThe COVID-19 pandemic has markedly altered the infection spectrum of S. pneumoniae in pediatric CAP patients, as evidenced by shifts in the age of patients, respiratory co-infections, AMR patterns, and seasonal trends.

Indexed as

Anti-Bacterial AgentsCommunity-Acquired InfectionsCOVID-19Streptococcus pneumoniaeAdolescentChildChild, PreschoolChinaCoinfectionDrug Resistance, BacterialFemaleHumansInfantMalePandemicsPneumonia, PneumococcalAnti-Bacterial AgentsAntimicrobial resistanceCommunity acquired pneumoniaCOVID-19EpidemiologyPediatricsStreptococcus pneumoniae

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.